An apparatus and method for determining the volume, form and weight of fish or other objects is presented. A linescan camera records a top view of an object and at the same time records a profile view of the object reflected by a mirror located adjacent to the object. The mirror is positioned to reflect a view of the object which is perpendicular to the direct view of the camera and to the direction of motion of a conveyor belt along which the object moves. As the object moves along a conveyor belt through the field of view of the camera, a number of cross-sectional images are recorded and transmitted to a microprocessor. The microprocessor determines the maximum width of each cross-section from the direct image and the maximum thickness from each cross-section reflected image. Based upon the width and height of each cross-section and a form factor and estimated object density, the microprocessor calculates volume ane weight for each cross-section and adds the series of object cross-sections together to determine a volume and weight of the object.

Patent
   5184733
Priority
Feb 19 1991
Filed
Feb 19 1992
Issued
Feb 09 1993
Expiry
Feb 19 2012
Assg.orig
Entity
Large
162
3
all paid
1. An apparatus for assessing an object comprising:
a camera positioned above and aimed at a surface of a conveyor belt to receive a direct image of the object;
a mirror positioned along side and parallel with the conveyor belt at an angle to project a profile image of an object on the conveyor belt under the camera into a lens of the camera;
means, connected to the camera, for determining at least one of the volume, form and weight of the object by combining the direct image of the object received by the camera and the profile image.
14. An apparatus for assessing an object comprising:
a camera positioned above and aimed at a surface of a conveyor belt to receive a direct image of the object;
a mirror positioned along side and parallel with the conveyor belt at an angle to project a profile image of an object on the conveyor belt under, the camera into a lens of the camera;
means, connected to the camera, for determining at least one of the volume, form and weight of the object by combining the direct image of the object received by the camera and the profile image; and
means for sorting objects on the basis of one or more of the volume, form and weight of the object determined by the determining means.
8. A method for assessing an object with an apparatus comprising:
a camera located above and aimed at a conveyor belt;
a mirror adjacent the conveyor belt positioned to reflect to the camera an image of an object on the conveyor belt; and
a processor, connected to the camera for determining the volume form and weight of the object by combining a direct image of the object received directing by the camera and a reflected profile image;
the method comprising the steps of:
recording a direct image of an object traveling below the camera on the conveyor belt;
recording a reflected image of an object traveling below the camera on the conveyor belt such that the direct image and reflected image are recorded simultaneously and the reflected image is from a direction at substantially right angles to the direction of the direct image and to a direction of movement of the conveyor belt;
transmitting the image data to the processor; and
combining image data and other data including speed of the conveyor belt, a form factor and density of the object to determine at least one of the volume, weight and form of the object.
21. A method for assessing an object with an apparatus comprising:
a camera located above and aimed at a conveyor belt;
a mirror adjacent the conveyor belt positioned to reflect to the camera an image of an object on the conveyor belt; and
a processor, connected to the camera for determining the volume form and weight of the object by combining a direct image of the object received directing by the camera and a reflected profile image;
the method comprising the steps of:
recording a direct image of an object traveling below the camera on the conveyor belt;
recording a reflected image of an object traveling below the camera on the conveyor belt such that the direct image and reflected image are recorded simultaneously and the reflected image is from a direction at substantially right angles to the direction of the direct image and to a direction of movement of the conveyor belt;
transmitting the image data to the processor; and
combining image data and other data including speed of the conveyor belt, the form factor and density of the object to determine at least one of the volume, weight and form of the object; and
sorting object based on at least one of the volume, form and weight of the object determined in the combining steps.
2. An apparatus according to claim 1 wherein the camera is a linescan camera.
3. An apparatus according to claim 2 wherein a series of images is taken at intervals.
4. An apparatus according to claim 3 wherein the determining means determines volume by determining cross-sectional area and sectional volume by combining speed conveyor and the interval between images and adding sectional volumes for the series of images.
5. An apparatus according to claim 4 wherein the determining means determines the cross-sectional area by combining a maximum height of profile image, width of the top plan image and a form factor of the object.
6. An apparatus according to claim 5 wherein at least one mirror surface is positioned in an image area of the camera such that the camera receives the profile image of the object from a direction at right angles to the top plan image received directly from the object and to a direction of movement of the conveyor belt.
7. An apparatus according to claim 6 wherein the mirror is positioned adjacent to the conveyor belt such that a line of intersection of a plane of the mirror and a plane of the conveyor belt is substantially parallel with a direction of movement of the conveyor belt and such that the plane of the mirror forms an angle with the plane of the conveyor belt allowing the camera to receive a reflected image of a part of the conveyor belt and simultaneously a direct image of the same part of the conveyor belt.
9. A method according to claim 8 wherein the steps of recording direct and reflected images are recording images with a linescan camera.
10. A method according to claim 9 wherein the steps of recording direct and reflected images are repeated at intervals to obtain a series of images.
11. A method according to claim 10 wherein the combining step includes the steps of determining the volume by determining cross-sectional area and sectional volume by combining the speed of the conveyor and an interval between images, and adding sectional volumes for the series of images.
12. A method according to claim 11 wherein the cross-sectional area determining step includes the step of combining a maximum height of the reflected image, width of the direct image and a form factor of the object.
13. A method according to claim 12 wherein the step of recording a reflected image is recording a reflected image from a direction parallel to a surface of the conveyor belt.
15. An apparatus according to claim 14 wherein the camera is a linescan camera.
16. An apparatus according to claim 15 wherein a series of images is taken at intervals.
17. An apparatus according to claim 16 wherein the determining means determines volume by determining cross-sectional area and sectional volume by combining speed conveyor and the interval between images and adding sectional volumes for the series of images.
18. An apparatus according to claim 17 wherein the determining means determines the cross-sectional area by combining a maximum height of the profile image, width of the direct image and a form factor of the object.
19. An apparatus according to claim 18 wherein at least one mirror surface is positioned in an image area of the camera such that the camera receives the profile image of the object from a direction at right angles to the top plan image received directly from the object and to a direction of movement of the conveyor belt.
20. An apparatus according to claim 19 wherein the mirror is positioned adjacent to the conveyor belt such that a line of intersection of a plane of the mirror and a plane of the conveyor belt is substantially parallel with a direction of movement of the conveyor belt and such that the plane of the mirror forms an angle with the plane of the conveyor belt allowing the camera to receive a reflected image of a part of the conveyor belt and simultaneously a direct image of the same part of the conveyor belt.
22. A method according to claim 21 wherein the steps of recording direct and reflected images are recording images with a linescan camera.
23. A method according to claim 22 wherein the steps of recording direct and reflected images are repeated at intervals to obtain a series of images.
24. A method according to claim 23 wherein the combining step of includes the step of determining the volume by determining cross-sectional area and sectional volume by combining the speed of the conveyor and an interval between images, and adding sectional volumes for the series of images.
25. A method according to claim 24 wherein the cross-sectional area determining step includes the step of combining a maximum height of the reflected image and width of direct image and a form factor of the object.
26. A method according to claim 25 wherein the step of recording a reflected image is recording a reflected image from a direction parallel to a surface of the conveyor belt.

1. Field of the Invention

This invention relates to a method and apparatus for determining volume, form and weight of an object, and more particularly, such a method and apparatus using a camera.

2. Description of the Related Art

In the processing of fish and other products it is necessary to grade and sort portions into various categories, both by form (i.e. whether they are tail portions, loins, center portions, etc.) and by weight. It is also sometimes convenient to grade fish fillets before they are portioned. At present, grading by form is carried out by hand, and then each portion is weighed. This method is time consuming and is subject to error. Grading by weight alone is of little value, because it does not provide information on the flesh distribution of the fish sufficient for further processing. By analyzing the form and the volume in addition to the weight of the product, significantly more information can be obtained and used in determining the further processing of the fish.

One technique which has frequently been applied to measure the three-dimensional form of objects is "structured lighting", in which a pattern of lines is projected onto the object at a particular angle and then examined from another angle with a camera. The application for patent of ISHIDA European Patent Application No. 85306694.2 provides one example of this technique. The principal disadvantage of the structured lighting measuring technique is that there must be a specific minimum distance between the lines which are projected onto the fish so that they do not overlap. A common interval is 21/2 cm, i.e. 0.4 lines per cm, and it is seldom that more than 50 points along each line are measured, so that only 20 measuring points are obtained for each cm along an object. If the quantization error in structured lighting is examined, it is evident that the error is extremely large. For example, 50 cm is imaged with 256×256 pixels and there is an interval of 21/2 cm between the lines which are projected onto the fish. Approximately 20 lines are therefore projected onto a fish, and the thickness along each line is measured by 13 pixels. Frequently, the thickness is measured with 5-10 pixels. It is therefore clear that there will be considerable error due to the low resolution of the method. Another substantial disadvantage of structured lighting is that a large amount of data must be processed: 256×256, or 65,536 measuring points, and extremely complex image analysis techniques are needed in order to determine the size and position of the fish on the basis of such data. This calculation intensive method results in a slow operation and limited accuracy.

The present invention provides method and apparatus for grading objects by form and size which is simpler, quicker, more accurate and cheaper than that which has been available up to now.

The present invention is an apparatus and method for determining the volume, form and weight of an object such as a piece of fish. The object is placed on a conveyor belt which moves beneath a special camera which takes simultaneous pictures of the thickness and width of the piece of fish, at specific regular intervals. The data from these pictures are then further processed by a computer, which, on the basis of particular assumptions, is able to indicate accurately the weight, form and volume of an object. This method and apparatus can perform independently of external movements, such as the motion of a ship at sea.

The invention is described in greater detail below with reference to the appended drawings, in which:

FIG. 1 shows a perspective view of the apparatus according to the present invention;

FIG. 2 shows a cross-sectional view of the camera apparatus according to the present invention;

FIG. 3 shows a schematic view of the form of a fish fillet and a pattern of image lines according to the present invention; and

FIG. 4 is a cross-sectional view showing the position of the mirror of the apparatus according to the present invention.

In the preferred embodiment of the present invention shown in FIG. 1, a linescan camera 1 located above and directed towards the surface of a conveyor belt 6 scans an object 5 traveling on the conveyor belt 6. The camera 1 takes a picture of the top of the object 5 and at the same time takes a picture of the lateral side of the object 5 with the aid of a mirror 3 positioned on a fixed support 4 at the side of the conveyor belt 6.

FIG. 2 more clearly shows the arrangement of the camera 1, mirror 3 and object 5 on the conveyor belt 6. The mirror 3 is arranged so that a profile image of the object 5 is reflected by the mirror 3 up into the lens of the linescan camera 1. FIG. 4 illustrates the alignment of the mirror 3 with respect to the camera 1 and the conveyor belt 6. Also shown in FIG. 4 are the approximate positions of lamps 7 and 8 which illuminate the object to provide a clear image for the camera.

Data of the recorded image is then transmitted to microprocessor 9 which analyzes the images and determines the weight, volume and form of the object. By means of this image, two quantities are measured by the microprocessor: the width (b) of the object and its thickness (h). Referring to FIG. 3, linescan camera (1) takes an image at intervals as the object passes under the camera on conveyor belt 6. The interval at which the camera 6 takes a picture and the speed of the conveyor belt determine the distance between locations at which cross-sections are determined. At each interval, the camera takes a picture, and the thickness (h) and width (b) of a cross-section of the object are determined by the microprocessor 9.

The composite image of the fish consists of many cross-sections, with the width and maximum thickness of the fish being measured in each cross-section.

The area of the cross-section (A) is determined by the microprocessor from the images from the camera. In each scanning line, the width (b) and maximum thickness (h) of the fish for each cross-section are measured, and then cross-sectional area A is obtained by the formula:

A=b×h×β

in which β is a form factor. The value β is determined by the type of fish or object, the orientation of the fish or object on the conveyor belt, and the estimated size of the fish or object.

The orientation of the cross-section is determined on the basis of data from both the direct and reflected images of the object. This applies to the orientation of the fish in terms of the direction of motion of the conveyor belt. Also, by using simple morphology, individual parts of the fish can be identified. The thickness profile also indicates what part of the fillet is being measured.

The volume (V) of the fish is obtained by adding together all of the sectional volumes (Vs) of the object. Sectional volumes (Vs) are obtained by multiplying the cross-sectional area (A) by the speed of the conveyor belt (v) and the time between readings of the scanning lines (T). This is done for each cross-section to obtain the sectional volume (Vs), and the sectional volumes (Vs) are then added to obtain the total volume (V) of the fish.

The weight of the fish is then obtained by multiplying volume (V) by the specific weight density of the type of fish being analyzed.

The microprocessor then takes the form, volume and weight information to control a conventional sorter 10, in a manner well known to those of ordinary skill in the art. The sorter then sorts the object based on instructions from the microprocessor.

The method and apparatus of the present invention provide a number of advantages over the method of structural lighting. The present invention provides greater accuracy because it measures at least 20 lines/cm, a line density 50 times that of structural lighting. As soon as the lines are sensed, three points are measured in each line. Two points are located at the edges of the cross-section, and one at the highest point of each cross-section. In this way at least 60 measuring points per cm are obtained. By combining the measurements with knowledge of the position of the cross-sections it is possible to obtain an accurate three-dimensional measurement of the form.

In contrast the accuracy of structured lighting is limited by the minimum distance between the lines which are projected onto the fish so that there is no overlap between the lines. A common distance is 2.5 cm, providing a maximum line density of 0.4 lines/cm. More than 50 points in each line are seldom measured, so that only 20 measuring points/cm are obtained. The resulting len resolution indicates the potential for significant error.

The present invention also has significantly greater speed than the method of structural lighting. Assuming there are 20 lines/cm in a 25-cm long object, 1500 measured points define the measured object and a great deal is known about the position of each measuring point. This requires only 500 cross-section calculations to determine the volume. In contrast, using structured lighting, the corresponding quantity of data consists of 256×256, or 65,536 measuring points. Also, extremely complex image analysis techniques are needed in order to determine the size and position of the fish.

Thus, the present invention is significantly more efficient than structural lighting, both because there is less data to be processed and because more is known about the data when calculation begins.

Although only a single preferred embodiment of this invention has been described, those skilled in the art will readily appreciate that many modifications are possible without material departing from the novel teachings and advantages of the invention. Accordingly all such modifications are intended to be included within the scope of this invention as defined by the followings claims.

Pau, Louis F., Arnarson, Hordur

Patent Priority Assignee Title
10007858, May 15 2012 Honeywell International Inc.; HONEYWELL INTERNATIONAL INC D B A HONEYWELL SCANNING AND MOBILITY Terminals and methods for dimensioning objects
10025314, Jan 27 2016 Hand Held Products, Inc. Vehicle positioning and object avoidance
10031018, Jun 16 2015 Hand Held Products, Inc. Calibrating a volume dimensioner
10060721, Jul 16 2015 Hand Held Products, Inc. Dimensioning and imaging items
10060729, Oct 21 2014 Hand Held Products, Inc. Handheld dimensioner with data-quality indication
10066982, Jun 16 2015 Hand Held Products, Inc. Calibrating a volume dimensioner
10074191, Jul 05 2015 Cognex Corporation System and method for determination of object volume with multiple three-dimensional sensors
10083333, Oct 10 2014 Hand Held Products, Inc. Depth sensor based auto-focus system for an indicia scanner
10094650, Jul 16 2015 Hand Held Products, Inc. Dimensioning and imaging items
10096099, Oct 10 2014 HAND HELD PRODUCTS, INC Image-stitching for dimensioning
10121039, Oct 10 2014 Hand Held Products, Inc. Depth sensor based auto-focus system for an indicia scanner
10127674, Jun 15 2016 Hand Held Products, Inc. Automatic mode switching in a volume dimensioner
10134120, Oct 10 2014 HAND HELD PRODUCTS, INC Image-stitching for dimensioning
10140724, Jan 12 2009 Intermec IP Corporation Semi-automatic dimensioning with imager on a portable device
10163216, Jun 15 2016 Hand Held Products, Inc. Automatic mode switching in a volume dimensioner
10203402, Jun 07 2013 Hand Held Products, Inc. Method of error correction for 3D imaging device
10218964, Oct 21 2014 Hand Held Products, Inc. Dimensioning system with feedback
10225544, Nov 19 2015 Hand Held Products, Inc. High resolution dot pattern
10226053, Aug 08 2012 NORDISCHER MASCHINENBAU RUD BAADER GMBH + CO , KG Method and device for monitoring a meat processing machine
10228452, Jun 07 2013 Hand Held Products, Inc. Method of error correction for 3D imaging device
10240914, Aug 06 2014 Hand Held Products, Inc. Dimensioning system with guided alignment
10247547, Jun 23 2015 Hand Held Products, Inc. Optical pattern projector
10249030, Oct 30 2015 Hand Held Products, Inc. Image transformation for indicia reading
10318976, Jul 28 2015 Walmart Apollo, LLC Methods for determining measurement data of an item
10321127, Aug 20 2012 Intermec IP CORP Volume dimensioning system calibration systems and methods
10339352, Jun 03 2016 Hand Held Products, Inc. Wearable metrological apparatus
10359273, Oct 21 2014 Hand Held Products, Inc. Handheld dimensioning system with measurement-conformance feedback
10393506, Jul 15 2015 Hand Held Products, Inc. Method for a mobile dimensioning device to use a dynamic accuracy compatible with NIST standard
10393508, Oct 21 2014 Hand Held Products, Inc. Handheld dimensioning system with measurement-conformance feedback
10402956, Oct 10 2014 Hand Held Products, Inc. Image-stitching for dimensioning
10417769, Jun 15 2016 Hand Held Products, Inc. Automatic mode switching in a volume dimensioner
10467806, May 04 2012 Intermec IP Corp. Volume dimensioning systems and methods
10584962, May 01 2018 HAND HELD PRODUCTS, INC System and method for validating physical-item security
10593130, May 19 2015 Hand Held Products, Inc. Evaluating image values
10612958, Jul 07 2015 Hand Held Products, Inc. Mobile dimensioner apparatus to mitigate unfair charging practices in commerce
10635922, May 15 2012 Hand Held Products, Inc. Terminals and methods for dimensioning objects
10733748, Jul 24 2017 Hand Held Products, Inc. Dual-pattern optical 3D dimensioning
10747227, Jan 27 2016 Hand Held Products, Inc. Vehicle positioning and object avoidance
10775165, Oct 10 2014 HAND HELD PRODUCTS, INC Methods for improving the accuracy of dimensioning-system measurements
10805603, Aug 20 2012 Intermec IP Corp. Volume dimensioning system calibration systems and methods
10810715, Oct 10 2014 HAND HELD PRODUCTS, INC System and method for picking validation
10835720, Dec 16 2005 CONFLUENT MEDICAL TECHNOLOGIES, INC Methods for manufacturing multi-layer balloons for medical applications
10843362, Jul 06 2017 GRASSELLI S.P.A. Apparatus for scanning food products
10845184, Jan 12 2009 Intermec IP Corporation Semi-automatic dimensioning with imager on a portable device
10859375, Oct 10 2014 Hand Held Products, Inc. Methods for improving the accuracy of dimensioning-system measurements
10872214, Jun 03 2016 Hand Held Products, Inc. Wearable metrological apparatus
10908013, Oct 16 2012 Hand Held Products, Inc. Dimensioning system
10909708, Dec 09 2016 Hand Held Products, Inc. Calibrating a dimensioner using ratios of measurable parameters of optic ally-perceptible geometric elements
10935318, Dec 16 2016 ArcelorMittal Method and system for determining the mass of feedstock on a conveyor
11015404, Dec 16 2019 Halliburton Energy Services, Inc. Cuttings volume measurement away from shale shaker
11029762, Jul 16 2015 Hand Held Products, Inc. Adjusting dimensioning results using augmented reality
11047672, Mar 28 2017 HAND HELD PRODUCTS, INC System for optically dimensioning
11311702, Dec 16 2005 Confluent Medical Technologies, Inc. Methods for manufacturing multi-layer balloons for medical applications
11353319, Jul 15 2015 Hand Held Products, Inc. Method for a mobile dimensioning device to use a dynamic accuracy compatible with NIST standard
11403887, May 19 2015 Hand Held Products, Inc. Evaluating image values
11639846, Sep 27 2019 Honeywell International Inc Dual-pattern optical 3D dimensioning
11906280, May 19 2015 Hand Held Products, Inc. Evaluating image values
5253765, Jan 14 1993 Key Technology, Inc Sorting and grading system
5416609, May 13 1992 Minolta Co., Ltd. Image pickup apparatus for focusing an object image based on mirror reflected height of the object
5422861, Sep 01 1989 QUANTRONIX, INC Measuring method and apparatus
5469973, Mar 14 1991 JOHNSONVILLE ACQUISITION COMPANY LLC Sorting optically different solid masses
5616914, Mar 15 1994 Minolta Co., Ltd. Image reading apparatus with correction of image signals
5673647, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
5719678, Jul 26 1994 Intermec IP Corporation Volumetric measurement of a parcel using a CCD line scanner and height sensor
5726775, Jun 26 1996 Xerox Corporation Method and apparatus for determining a profile of an image displaced a distance from a platen
5732203, Dec 29 1992 Institut Francais du Petrole Process for restoring the inner volumes of a solid with a view to computations and associated application
5764379, Sep 29 1994 Minolta Co., Ltd. Document scanner for book document
6000361, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle Management method and system
6122001, Mar 22 1996 MANNESMANN DEMATIC POSTAL AUTOMATION S A Image acquisition system for sorting packets
6135055, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
6164174, Feb 13 1997 Marel HF Computer controlled portioning machine
6166811, Aug 12 1999 PERCEPTRON, INC Robot-based gauging system for determining three-dimensional measurement data
6189223, Mar 11 1997 Device for measuring volume
6318289, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
6323441, Mar 10 2000 Honeywell International Inc Ultrasonic distance measuring system for monitoring railroad car loads
6345763, Jan 10 1996 Minolta Co., Ltd. Image reading apparatus for reading a bookform document placed on a document table in face-up state
6349755, Jul 07 1999 Xeda International System for evaluating the geometry of articles transported by a conveyor
6407819, Jan 22 1998 Maschinenfabrik Rieter AG Method and device for measuring fibre length
6473190, Mar 13 2000 Ascensia Diabetes Care Holdings AG Optical volume sensor
6516746, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
6580038, Jan 19 2000 GAINCO INC , AN OHIO CORPORATION Static weighing system
6604991, Jul 31 1998 Nordischer Maschinenbau Rud. Baader GmbH + CO KG Device and method for processing meat
6614928, Dec 21 1999 UNILOC 2017 LLC Automatic parcel volume capture system and volume capture method using parcel image recognition
6687398, Apr 02 1997 FESTO AG & CO KG Method and an apparatus for the identification of incorrectly oriented parts and/or parts departing from a predetermined master
6759601, Jun 24 1998 Scientific Generics Limited Check weighing apparatus and method
6805075, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
6843714, Jul 31 1998 Nordischer Maschinenbau Rud. Baader GmbH + CO KG Device and method respectively for processing flesh
7010457, Dec 23 2002 Apparatus and method for producing a numeric display corresponding to the volume of a selected segment of an item
7098409, Aug 16 2002 Tsinghua University Apparatus for weighing materials online
7158915, Dec 23 2002 Apparatus and method for displaying numeric values corresponding to the volume of segments of an irregularly shaped item
7205529, Feb 01 2001 Marel HF Laser mirror vision
7261130, Sep 17 2004 Gainco, Inc. Automated process for counting and filling containers with meat and poultry products
7347161, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
7403218, Oct 23 2002 KEYENCE CORPORATION Image processing system and image processing method
7460982, Jan 16 2003 Apparatus and method for producing a numeric display corresponding to the volume of a selected segment of an item
7464666, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
7464667, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
7555880, Sep 24 2003 CANTRELL GAINCO GROUP INC Automated process for counting and filling containers with meat and poultry products
7578165, Dec 17 2004 INTERFACE ACQUISITIONS LLC Measurement apparatus and methods for balloon catheters
7586049, Aug 09 2006 DATALOGIC AUTOMATION, INC Apparatus and method for measuring the weight of items on a conveyor
7607405, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
7623249, Apr 20 1999 Provisur Technologies, Inc Automated product profiling apparatus and product slicing system using same
7659995, Sep 13 2000 Nextpat Limited Digitizer using plural capture methods to image features of 3-D objects
7670292, Nov 30 2004 HAYNES, J T Determining respiratory or circulatory health condition in animals for improved management
7681527, Jan 19 2005 MWI VETERINARY SUPPLY CO Method and system for tracking and managing animals and/or food products
7711179, Apr 21 2004 Nextpat Limited Hand held portable three dimensional scanner
7715935, Dec 30 2004 John Bean Technologies Corporation Predetermining portioning yield
7726258, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
7748345, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
7757946, Apr 16 2004 RICE LAKE WEIGHING SYSTEMS, INC Material transport in-motion product dimensioning system and method
7809522, Mar 06 2007 Apparatus and method for determining and numerically displaying a volume dependent characteristic of any unseparated part of an item
7810451, Jan 19 2005 MWI VETERINARY SUPPLY CO Method and system for tracking and managing animals and/or food products
7827934, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
7836849, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
7836850, Jan 19 2005 MWI VETERINARY SUPPLY CO Method and system for tracking and managing animals and/or food products
7841264, Jul 19 2000 John Bean Technologies Corporation Three axis portioning method
7931593, Nov 30 2004 HAYNES, J T Determining respiratory or circulatory health condition in animals for improved management
7995834, Jan 20 2006 Nextpat Limited Multiple laser scanner
8025000, Jul 19 2000 John Bean Technologies Corporation Three axis portioning method
8028657, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
8037846, Jan 19 2005 MWI VETERINARY SUPPLY CO Method and system for tracking and managing animals and/or food products
8091712, Sep 23 2005 Marel Food Systems HF Method for batching items
8116559, Apr 21 2004 Nextpat Limited Hand held portable three dimensional scanner
8166856, Jul 19 2000 John Bean Technologies Corporation Method for portioning foodstuff to user-specified shape
8233667, Sep 07 2004 Petro-Model EHF Apparatus and method for analysis of size, form and angularity and for compositional analysis of mineral and rock particles
8256381, Jan 19 2005 MWI VETERINARY SUPPLY CO Method and system for tracking and managing animals and/or food products
8261694, Oct 31 1994 MWI VETERINARY SUPPLY CO Cattle management method and system
8282557, Nov 30 2004 HAYNES, J T Determining respiratory or circulatory health condition in animals for improved management
8474405, Oct 31 1994 MWI Veterinary Supply Co. Cattle management method and system
8505488, Jan 19 2005 MWI Veterinary Supply Co. Method and system for tracking and managing animals and/or food products
8643851, Dec 21 2009 WEBER FOOD TECHNOLOGY GMBH Scanning device
8699829, Apr 21 2004 Nextpat Limited Hand held portable three dimensional scanner
8929971, Nov 30 2004 HAYNES, J T Determining respiratory or circulatory health condition in animals for improved management
9074923, Aug 30 2012 Hyer Industries, Inc. System and methods for belt conveyor weighing based on virtual weigh span
9285213, Oct 27 2009 Provisur Technologies, Inc Automated product profiling apparatus and product slicing system using the same
9549168, Apr 21 2004 Nextpat Limited Hand held portable three dimensional scanner
9770838, Jul 19 2000 John Bean Technologies Corporation System for portioning foodstuff to user-specified shape
9779546, May 04 2012 Intermec IP CORP Volume dimensioning systems and methods
9786101, May 19 2015 Hand Held Products, Inc. Evaluating image values
9800860, Oct 21 2014 Hand Held Products, Inc. Dimensioning system with feedback
9804013, Jul 07 2015 Hand Held Products, Inc. Mobile dimensioner apparatus for use in commerce
9823059, Aug 06 2014 Hand Held Products, Inc. Dimensioning system with guided alignment
9826220, Oct 21 2014 Hand Held Products, Inc. Dimensioning system with feedback
9833600, Dec 16 2005 CONFLUENT MEDICAL TECHNOLOGIES, INC Methods for manufacturing multi-layer balloons for medical applications
9835486, Jul 07 2015 Hand Held Products, Inc. Mobile dimensioner apparatus for use in commerce
9841311, Oct 16 2012 HAND HELD PRODUCTS, INC Dimensioning system
9857167, Jun 23 2015 Hand Held Products, Inc. Dual-projector three-dimensional scanner
9861112, May 05 2014 LAMBHUSASUND EHF Batching with vision
9880268, Jun 07 2013 Hand Held Products, Inc. Method of error correction for 3D imaging device
9888696, Oct 27 2009 Provisur Technologies, Inc Automated product profiling apparatus and product slicing system using the same
9897434, Oct 21 2014 Hand Held Products, Inc. Handheld dimensioning system with measurement-conformance feedback
9897441, Oct 04 2012 HAND HELD PRODUCTS, INC Measuring object dimensions using mobile computer
9909858, Oct 21 2014 Hand Held Products, Inc. Handheld dimensioner with data-quality indication
9911192, Jun 10 2016 Hand Held Products, Inc. Scene change detection in a dimensioner
9913483, Sep 23 2014 MAREL A S Method and a device for automatically cutting meat products such as beef tenderloin into portions
9939259, Oct 04 2012 HAND HELD PRODUCTS, INC Measuring object dimensions using mobile computer
9940721, Jun 10 2016 Hand Held Products, Inc. Scene change detection in a dimensioner
9965694, May 15 2012 Honeywell International Inc. Terminals and methods for dimensioning objects
9976848, Aug 06 2014 Hand Held Products, Inc. Dimensioning system with guided alignment
9983588, Jan 27 2016 Hand Held Products, Inc. Vehicle positioning and object avoidance
RE40085, Jul 31 1998 Nordischer Maschinenbau Rud. Baader GmbH + Co. KG Device and method for processing meat
RE41409, Jul 31 1998 Nordischer Maschinenbau Rub Baader GmbH + CO KG Device and method respectively for processing flesh
Patent Priority Assignee Title
4493420, Jan 29 1981 Sortex Limited Method and apparatus for detecting bounded regions of images, and method and apparatus for sorting articles and detecting flaws
4693607, Dec 05 1983 Sunkist Growers Inc. Method and apparatus for optically measuring the volume of generally spherical fruit
EP258810,
///
Executed onAssignorAssigneeConveyanceFrameReelDoc
Feb 19 1992Marel H.F.(assignment on the face of the patent)
Apr 10 1992ARNARSON, HORDURMAREL, H F ASSIGNMENT OF ASSIGNORS INTEREST 0061590775 pdf
Apr 27 1992PAU, LOUIS F MAREL, H F ASSIGNMENT OF ASSIGNORS INTEREST 0061590775 pdf
Date Maintenance Fee Events
Jun 13 1996M183: Payment of Maintenance Fee, 4th Year, Large Entity.
Jul 08 1996ASPN: Payor Number Assigned.
May 05 2000M184: Payment of Maintenance Fee, 8th Year, Large Entity.
Jul 28 2004M1553: Payment of Maintenance Fee, 12th Year, Large Entity.


Date Maintenance Schedule
Feb 09 19964 years fee payment window open
Aug 09 19966 months grace period start (w surcharge)
Feb 09 1997patent expiry (for year 4)
Feb 09 19992 years to revive unintentionally abandoned end. (for year 4)
Feb 09 20008 years fee payment window open
Aug 09 20006 months grace period start (w surcharge)
Feb 09 2001patent expiry (for year 8)
Feb 09 20032 years to revive unintentionally abandoned end. (for year 8)
Feb 09 200412 years fee payment window open
Aug 09 20046 months grace period start (w surcharge)
Feb 09 2005patent expiry (for year 12)
Feb 09 20072 years to revive unintentionally abandoned end. (for year 12)